Role-Based Programme
RB0134

Claude for Information Technology

Advanced AI Workflows, Technical Intelligence & IT Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced proficiency in applying Claude across technical support, application management, software development, infrastructure, operations, documentation, and IT service workflows.
  • Build reusable AI-assisted workflows for troubleshooting, code analysis, scripting, configuration review, incident investigation, testing, and technical documentation.
  • Apply Claude Code and connected technical context to accelerate software maintenance, repository understanding, operational tasks, and controlled technical automation.
  • Use Research, Projects, organizational knowledge, and Connectors to improve technical investigation, architecture evaluation, and long-running IT work.
  • Establish secure and governed AI-assisted IT workflows using permissions, validation, testing, least privilege, human approval, and auditable controls.

Tools covered

ClaudeAdvanced Prompt EngineeringClaude CodeResearchFile & Data AnalysisProjectsProject KnowledgeArtifactsConnectorsModel Context Protocol (MCP)Claude Code CLI & Permission Controls

Who should attend

  • IT Support Engineers
  • Application Support Professionals
  • System Administrators
  • Infrastructure Engineers
  • Cloud Engineers
  • Network Engineers
  • Software Developers
  • DevOps & Platform Engineers
  • Database Professionals
  • IT Operations Professionals
  • IT Service Management Professionals
  • Solution Architects
  • Technical Leads
  • Engineering Managers
  • IT Managers & Technology Leaders

Prerequisites & Participant Readiness

  • Familiarity with common IT systems, applications, infrastructure, or software-development activities
  • Basic understanding of troubleshooting, technical documentation, logs, or configuration files
  • Familiarity with command-line tools, scripting, source control, or repositories is beneficial
  • Basic understanding of APIs and cloud or enterprise applications is helpful
  • Prior Generative AI experience is beneficial but not mandatory
  • Advanced Claude Code and Connector activities may depend on organizational access and permissions
  • Completion of shorter Claude programmes is not required

TOC Modules

Concepts
  • Understanding Claude across Diagnose → Build → Operate → Document → Improve IT workflows
  • Understanding conversational AI versus agentic technical workflows
  • Recognizing hallucinations, outdated technical knowledge, incomplete context, and execution risk
Practical activities
  • Mapping support, development, infrastructure, and operations activities to suitable Claude capabilities
  • Evaluating which IT activities require mandatory engineer validation before execution

Scenarios

Production Incident to Verified Resolution

Monitoring Alert → Logs & Configuration → Claude Analysis → Root-Cause Hypotheses → Repository Investigation → Claude Code Fix → Automated Tests → Engineer Review → Controlled Deployment → RCA & Runbook Update

Participants build an advanced incident workflow that combines technical evidence, repository-aware coding, testing, and documentation while preserving engineer approval over production changes.

Application Modernization & Connected IT Automation

Legacy Application → Existing Code + Documentation → Claude Project → Research → Architecture Options → Repository Changes → Connected IT Systems → Validation → Controlled Rollout → Ongoing Operational Knowledge

Participants use Claude to support a modernization initiative from technical discovery and research through implementation planning, code changes, integration, testing, and reusable operational knowledge.

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